I am Michele Barsotti, Ph.D. Here below You can find the full resume. But... as it can be annoying reading all that boring stuff I want to follow github suggestion and I list some bullets about me in the next points:
- 🔭 I’m currently working... on signal processing and machine learning applied to bio-signals for real time human-computer-machine interfaces
- 🌱 I’m currently learning... among other things deep-learning.... in the end I really enjoy learning new things
- 🤔 I’m looking to collaborate on ... Python3 projects
- 💬 Languages Known ... Python, Matlab, R
- 📫 How to reach me: linkedin
- ⚡ Fun fact: I love spend my time playing with my kids (and also other people who enjoy to play as well!!! ;) ), listening music, playing guitar and go walk in the nature (seashore, woods, mountains...)
I am Dr. Michele Barsotti, PhD, currently working as a Senior BCI Research Scientist with a strong background at the intersection of neuroscience, coding, statistics, biomedical devices, and machine learning. 💻 📈
I specialize in EEG-based brain-computer interfaces 🧠, neurorehabilitation, and real-time signal processing. My research projects focus on analyzing biosignals and developing machine learning algorithms to decode brain activity, applying them to healthcare 🏥, assistive devices 🦾, and human-robot interaction systems. 👬
I enjoy working in a team 🤝 and believe in the value of collaboration. I often use agile methodologies 🚀 to manage projects and ensure smooth teamwork across different disciplines. I’m always excited to learn new things and explore new technologies that push the boundaries of what we can achieve in my field. ✨
Languages: Fluent in English (reading, writing, speaking) 🇬🇧. Basic knowledge of French 🇫🇷 and Spanish 🇪🇸. Native Italian speaker 🇮🇹 🍕.
Programming: Proficient in Python 🐍, MATLAB, and R for data analysis, signal processing, and machine learning. Experienced with LaTeX for document preparation and scientific publishing. Basic knowledge of HTML, CSS, and JavaScript for web-based applications and data visualization. 🕸️
Machine Learning & Data Analysis: Experience in designing and implementing machine learning models, particularly for biosignals and EEG data analysis. Skilled in feature extraction, classification, and applying deep learning techniques for real-time data processing.
Signal Processing: Advanced skills in processing biosignals, with a focus on EEG and ECG data. Experienced in developing real-time signal processing and classification algorithms. 📈
Human-Robot Interaction: Experienced in HRI design, integrating machine learning models with Human-Robot Interaction systems, combining software tools for real-time applications, particularly in healthcare and neurotechnological systems. 🤖🤝
Operating Systems: Proficient with Linux-Ubuntu 🐧, including shell scripting (Bash) and system management. Skilled in Windows environment for development and daily work. 💻
Office & Productivity Tools: Advanced knowledge of Microsoft Office Suite (Excel, PowerPoint, Word) for data analysis, presentations, and documentation. 📊
Research & Development: Extensive experience in academic research, including designing experiments, data collection, analysis, and writing for peer-reviewed publications. Skilled in grant and project proposal writing. 🔬
Team Collaboration & Leadership: Comfortable working in cross-disciplinary teams, using Agile methodologies to ensure project efficiency. Supervised students and junior colleagues, offering mentorship and guidance. 🤝
Miscellaneous: Experience in teaching 👨🏫, conducting training sessions, scientific consulting, LaTeX typesetting, technical writing, and organizing academic workshops and conferences. 📚
Senior Research Scientist at Henesis srl, Camlin Italy srl. (http://henesis.eu/) (2020 -- Present)
- BCI Research & Development: Led research into EEG-based brain-computer interfaces (BCI) for neurorehabilitation, cognitive enhancement, sleep monitoring, and assistive devices. Developed and evaluated machine learning models for assessing user engagement during ecological experiences, by collecting and analyzing data from multiple modalities (EEG, ECG, GSR, etc.). 🧠
- Biosignal Acquisition & Processing: Designed and implemented data collection protocols for EEG and other biosignals (ECG, GSR) in both controlled and real-world settings. Developed signal processing pipelines for data cleaning, feature extraction, and analysis. Developed a framework for data cleaning, visualization, feature extraction, and real-time processing. 📈
- Machine Learning & AI Integration: Developed machine learning models for brain activity decoding and external device control. Integrated models into BCI systems for real-time applications, leveraging PyTorch frameworks. 🤖
- Real-Time Systems: Optimized high-performance, low-latency signal processing pipelines for healthcare applications. Developed Python packages for scalable, real-time biosignal analysis and implemented graphical user interfaces for data visualization and interpretation. Implemented a Python-based real-time graphical user interface that allows the processing, visualization, and interpretation of bio-signals, taking into account temporal, frequency, and spatial domains. ⏱️
- Cross-Disciplinary Collaboration: Collaborated with neuroscientists, bioengineers, and software developers to align BCI systems with healthcare and non-medical applications. Assisted in pre-clinical and clinical trials to validate the performance and safety of BCI systems. 🤝
- Human-Robot Interaction: Integrated machine learning models and preprocessing nodes for bio-signals-based Human-Robot interaction in the ROS2 framework. 🤖
- Supervision & Project Management: Supervised students and new employees, providing guidance on research projects and data analysis. Contributed to project writing and scientific publications in leading journals. Supervised internship students and new employees. Wrote projects and scientific articles for international scientific journals. ✍️
Post-doctoral researcher at Scuola Superiore Sant'Anna, TeCIP Institute, PERCRO lab. (2016 -- 2020)
- Designed, implemented, and conducted clinical Neuro-Rehabilitation protocols integrating real-time biosignals (EEG, EMG) analysis, robotic end-effectors, and exoskeletons, cutting-edge ML-based models for signal treatment and classification. 🦾
- Actively collaborated with clinical partners. 🤝
- Designed and implemented novel biomarker and outcomes metrics based on kinematics parameters and biosignals analysis. 📊
- Wrote, planned, and actively participated in National and International projects and grants. ✍️
- Supervised PhD students during their doctoral program. 👨🏫
Occasional employment - 3 months at University ``CA’ FOSCARI'' Venezia. (2019)
- Designed a study for the validation of two braille devices. 👓
- Statistical analysis of results. 📊
PhD Visiting researcher with Prof Dr. Dario Farina, Institute of Neurorehabilitation Systems at the University Medical Center Göttingen, GERMANY. (2016)
- Investigated the fine control of a prosthetic hand using the electrical signals coming from the forearm muscles. 🦾
- Planned, implemented, and conducted experiments involving the use of biomedical instruments and graphical user interfaces. 🧪
- Analyzed the acquired data and wrote scientific articles. ✍️
PhD student at Scuola Superiore Sant'Anna, TeCIP Institute, PERCRO lab. (2011 -- 2016)
- Started the doctoral program in November 2011 in the laboratory of Perceptual Robotics (PercRo). 🤖
- Conferred the PhD Degree in Emerging Digital Technologies on October 27th, 2016, with a dissertation on: “Human-robot interaction based on electrobiological signals for robotic application and Neurorehabilitation” with the final evaluation score of full marks and honor (100/100 cum laude). 🎓
Research Fellowship at Scuola Superiore Sant'Anna, TeCIP Institute, PERCRO lab. (2012)
- Worked at the PERCRO laboratory within the European Project “VERE”. 🇪🇺
- Conducted research on the analysis of biomedical signals and multi-sensorial feedback in healthy volunteers. 🔬
- Developed a Motor Imagery-based Brain Computer Interface (BCI) system based on novel algorithms and different feedback conditions. 🧠
Ph.D. in Emerging Digital Technologies at Scuola Superiore Sant'Anna, TeCIP Institute, PERCRO lab. HRI group under the supervision of Professor Antonio Frisoli (https://humanrobotinteraction.santannapisa.it/) (2011 -- 2016)
- Conferred the PhD Degree on October 27th, 2016, with a final evaluation score of full marks and honor (100/100 cum laude). 🎓
- Thesis title: Human-robot interaction based on electrobiological signals for robotic application and Neurorehabilitation. 🤖
Abilitazione alla professione di ingegnere -- Ingegneria dell'informazione (2008-2012) 🇮🇹
Master of Science (M.Sc.) in Biomedical Engineering at Università of Pisa, Pisa, Italy. (2009 -- 2011)
- Thesis title: Development and implementation of a motor imagery-based Brain Computer Interface for rehabilitation applications. 🧠
- Supervisors: Prof. Nicola Vanello and Prof. Antonio Frisoli.
- Score: 110/110. 💯
Bachelor of Science (B.Sc.) in Biomedical Engineering at Università di Pisa, Pisa, Italy. (2004 -- 2008)
- Thesis title: Design and development of a wearable biosignal monitoring system for ambulatory healthcare. 📈
- Supervisor: Prof. Nicola Vanello.
- Score: 96/110.
- Supervisor of two master students during and co-relator of their thesis. (2022)
- Supervisor for a PhD student internship from UniPi at Henesis srl. (2020)
- Lessons about "Robotics and Artificial Intelligence" within the "STEM-4-Future" project to high-school students in three schools of Rome. (2019) 🤖
- Plenary lecture titled "Nuove tecnologie robotiche indossabili per la riabilitazione e l'assistenza motoria" at the ECM (Continuing Medical Education) course titled "Riabilitazione tra presente e futuro" during the national event of the UILDM (Unione Italiana Lotta alla Distrofia Muscolare). (2018) ♿
- Assistant professor for the class of "Bio ingegneria Elettronica ed Informatica" Modulo dell'insegnamento Bioingegneria Elettronica e Economia Aziendale – Cod. 002IP, CdS Fisioterapia e CdS Terapia della neuro e Psicomotricità dell’età evolutiva with Prof. Antonio Frisoli at the University of Pisa (2015-2019 - four consecutive years). 📚
- Lectures at the Master "Master In Scienze e Tecnologie di alta specializzazione e riabilitazione" sponsored by Telecom and directed by professors Giulio Guido and Bruno Rossi from the “Unità Operativa di Neuroriabilitazione Universitaria,” with the participation of Prof. Antonio Frisoli from the PERCRO laboratory of the Scuola Superiore Sant'Anna. (2015)
- Lectures at the post-lauream Master course "Digital Life & Smart Living" - (Master 2nd level). (2015) 💻
- ICNR – International Conference on Neuro Rehabilitation (Pisa) (October 2018)
- Organizer and speaker of the workshop WS4 titled – “Advances and Challenges on the Development, Testing and Assessment of Myo-Control for Prostheses and Assistive/Rehabilitation Robots.” Organizers: Michele Barsotti, Domenico Buongiorno, Andrea D’Avella, Antonio Frisoli. 🦾
- ICNR – International Conference on Neuro Rehabilitation (Pisa) (2018)
- Speaker at the workshop WS6: “The RONDA project, a robotic gym for stroke rehabilitation,” organizers: Silvestro Micera, Guido Giudetti. 🏋️
- Eurohaptics conference (Pisa) (2018)
- Co-organizer of the conference – Local arrangement – co-chair during teaser sessions. 🤝
- Cava De’ Tirreni (Salerno) (2017)
- Plenary talk “Tecnologie Robotiche E Di Realtà Virtuale Per La Riabilitazione Neuro-Motoria; conference “La sfida tecnologica per la persona disabile tra inclusione e isolamento”; Organizer “Fondazione Sinapsi”. 🤖
- National University Of Singapore (NTU) – Singapore (August 6, 2015)
- Paper Presentation “A full upper limb robotic exoskeleton for reaching and grasping rehabilitation triggered by Motor Imagery-Brain Computer Interface,” ICORR-2015 - International Conference On Robotic Rehabilitation IEEE. 🦾
- CNR Milano (2015)
- Plenary talk “NeuroRobotics for Neurorehabilitation”; Workshop “V Workshop in NeuroInformatica”; organizer Prof. Dr. Francesco Sicurello. 🤖
- Huston – Texas (USA) (2014)
- Lecture at the WorkShop “Brain Computer Interfaces and Haptics”; conference IEEE Haptic Symposium 2014 Huston (USA). 🧠
- Fondazione Santa Lucia – ROMA (2013)
- Lecture and demonstration at the workshop “Body and Brain computer Interfaces for communication and control”; event Brain Awareness Week. 🧠
- Best Conference Paper Award. The paper "A Full Upper Limb Robotic Exoskeleton for Reaching and Grasping Rehabilitation Triggered by MI-BCI" was short-listed for the "Best Conference Paper Award" at ICORR 2015. (2015)
- Project funded by the Spinal Unit Hospital NIGUARDA (MI). 2nd place at the "Spinal Cord Young" project, presenting the project titled Sviluppo e valutazione di tecnologie robotiche per l'assistenza e la riabilitazione della mano nel mieloleso. Milano, December 5, 2019.
- Gestione del Cambiamento del business e gestione del rischio, Piano Fondimpresa: "Sviluppo delle competenze in risposta alle mutate esigenze produttive dell’impresa". (2023) ⚙️
- Gestione delle relazioni in azienda, Piano Fondimpresa: "Sviluppo delle competenze in risposta alle mutate esigenze produttive dell’impresa". (2023)
- Product management, Piano Fondimpresa: "Sviluppo delle competenze in risposta alle mutate esigenze produttive dell’impresa". (2023)
- Safety course GSafe "corso di formazione generale e specifica dei lavoratori - settore di rischio basso - attività di supporto per le funzioni d'ufficio e altri servizi di supporto alle imprese". (2021)
- Introduction to Agile Development and Scrum. Coursera. (2021)
- Agile with Atlassian Jira. Coursera. (2021)
- End User Training, Camlin Group ISMS. (2022)
- Policy Training, Camlin Group ISMS. (2022)
- Business Development. Training course START-UP OVER 30. (2019)
- Deep Learning with Matlab. Matlab Training Course. (2019)